Senior Data Management Professional - Data Science - Data Management Lab

About the Role

Key Responsibilities

• Lead global initiatives focused on data science applications within data quality, data product development, and operational efficiency.
• Design and run studies to uncover root causes of data quality issues using techniques such as hypothesis testing, clustering, and regression analysis.
• Develop statistical models to detect data anomalies, predict quality issues, and optimize data manufacturing pipelines.
• Deliver actionable insights through advanced analytics and compelling data storytelling to support business decision making and innovation.
• Collaborate with data stakeholders and engineering partners to translate high-impact questions into scalable data science solutions.
• Build statistical and analytical capabilities within the team and mentor others in applying best practices in modeling and experimentation.

Requirements

• A PhD or Master's degree in Data Science, Economics, Statistics or a related quantitative field.
• 3-5 years' experience designing research studies and performing analysis such as data profiling, predictive modeling, and causal analysis.
• Strong coding skills in Python and experience with SQL for data querying.
• Familiarity with version control systems (e.g., Git) and collaborative development workflows (e.g., GitHub, GitLab).
• Experience working in a data quality, data governance, or data management environment is a major plus.
• Excellent project management skills and the ability to communicate complex findings clearly to both technical and non-technical audiences.
• Knowledge of financial markets and Bloomberg products is a plus.

Nice to Have

• Knowledge of DAMA, DCAM, or similar data management frameworks.

Qualifications

• Educational background with a PhD or Master's in a relevant quantitative field.

Benefits & Perks

• Competitive salary range of 110,000 - 190,000 USD annually plus benefits and bonus.
• Comprehensive and generous benefits plan including medical, dental, vision, short and long-term disability, 401(k) with match, life insurance, wellness programs, paid holidays, and paid time off.
• Incentive compensation for exempt roles and merit increases may be available.